{"id":"https://openalex.org/W1991731338","doi":"https://doi.org/10.1109/icip.2010.5651616","title":"Logistic dynamic texture model for human activity and gait recognition","display_name":"Logistic dynamic texture model for human activity and gait recognition","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W1991731338","doi":"https://doi.org/10.1109/icip.2010.5651616","mag":"1991731338"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2010.5651616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5651616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102000626","display_name":"Changhong Chen","orcid":"https://orcid.org/0000-0003-4894-8506"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changhong Chen","raw_affiliation_strings":["College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032808299","display_name":"Jimin Liang","orcid":"https://orcid.org/0000-0003-1428-5804"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jimin Liang","raw_affiliation_strings":["School of Life Science and Technology, Xidian University, China","School of Life Science and Technology, Xidian University, , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Life Science and Technology, Xidian University, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Life Science and Technology, Xidian University, , China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100528938","display_name":"Xiuchang Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuchang Zhu","raw_affiliation_strings":["College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2473","last_page":"2476"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7389954924583435},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7050703763961792},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6372814774513245},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6371703743934631},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5855351686477661},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.5716540217399597},{"id":"https://openalex.org/keywords/bernoullis-principle","display_name":"Bernoulli's principle","score":0.5131693482398987},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5059255957603455},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4856051802635193},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.47772571444511414},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.46432608366012573},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4602019488811493},{"id":"https://openalex.org/keywords/bernoulli-distribution","display_name":"Bernoulli distribution","score":0.41817358136177063},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30092209577560425},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.26569491624832153},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.10572227835655212},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08474734425544739},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07872304320335388}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7389954924583435},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7050703763961792},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6372814774513245},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6371703743934631},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5855351686477661},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.5716540217399597},{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.5131693482398987},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5059255957603455},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4856051802635193},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.47772571444511414},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.46432608366012573},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4602019488811493},{"id":"https://openalex.org/C27956954","wikidata":"https://www.wikidata.org/wiki/Q391371","display_name":"Bernoulli distribution","level":3,"score":0.41817358136177063},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30092209577560425},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.26569491624832153},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.10572227835655212},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08474734425544739},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07872304320335388},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2010.5651616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2010.5651616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1568698519","https://openalex.org/W2009333972","https://openalex.org/W2037769578","https://openalex.org/W2107325422","https://openalex.org/W2117540121","https://openalex.org/W2129620337","https://openalex.org/W2146634731","https://openalex.org/W2155351433","https://openalex.org/W2160144769","https://openalex.org/W2160933580","https://openalex.org/W2342506625","https://openalex.org/W2767557971","https://openalex.org/W2912155302","https://openalex.org/W6634039210","https://openalex.org/W6683756719","https://openalex.org/W6745739503"],"related_works":["https://openalex.org/W2236428207","https://openalex.org/W4366387587","https://openalex.org/W2151706800","https://openalex.org/W2099646276","https://openalex.org/W1982788967","https://openalex.org/W4324123865","https://openalex.org/W2786287312","https://openalex.org/W4237517023","https://openalex.org/W2933707278","https://openalex.org/W3198935159"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,38,55,59],"logistic":[4,75],"dynamic":[5,31],"texture":[6,17],"model":[7,18,84,104],"(LDT)":[8],"is":[9,20,85,105],"proposed":[10,83],"to":[11,48,69,77],"characterize":[12],"binary":[13,65,90],"image":[14,66,91,108],"sequences.":[15,32],"Dynamic":[16],"(DT)":[19],"one":[21],"of":[22,61,87,98,119],"the":[23,35,50,64,79,89,96,117],"most":[24],"efficient":[25],"and":[26,41,100,110],"successful":[27],"methods":[28],"in":[29],"modeling":[30],"It":[33],"learns":[34],"parameters":[36],"through":[37],"closed-form":[39],"solution":[40],"commonly":[42],"uses":[43],"principal":[44],"component":[45],"analysis":[46],"(PCA)":[47],"obtain":[49],"observation":[51,80],"function.":[52,81],"PCA":[53,76],"assumes":[54],"Gaussian":[56],"distribution":[57],"over":[58],"set":[60],"observations.":[62],"However,":[63],"sequences":[67,92],"subject":[68],"Bernoulli":[70],"distribution.":[71],"The":[72,82,103],"LDT":[73],"introduces":[74],"learn":[78],"capable":[86],"describing":[88],"accurately":[93],"by":[94,107],"processing":[95],"pixels":[97],"1":[99],"0":[101],"separately.":[102],"demonstrated":[106],"reconstructing":[109],"activity/gait":[111],"recognition":[112],"experiments.":[113],"Experimental":[114],"results":[115],"illustrate":[116],"effectiveness":[118],"our":[120],"model.":[121]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}